6,674 件 ・ 関連度順
概要と使いどころ
Create distinctive, production-grade frontend interfaces with high design quality. Covers design thinking, typography pairing, color theory, motion design, spatial composition, and code quality. Generates real working code — HTML/CSS/JS or React — with intentional aesthetic direction, not generic AI output.
日本語の概要は準備中です。原文の説明を表示しています。
A/B and multivariate testing methodology. Design experiments, calculate sample sizes, determine statistical significance, avoid common pitfalls, and interpret results. Platform-agnostic framework applicable to landing pages, emails, ads, pricing, and product features. Use when the user asks about A/B testing, split testing, experiment design, statistical significance, or conversion experiments.
日本語の概要は準備中です。原文の説明を表示しています。
Shopify e-commerce platform marketing expertise. Audit store performance, optimize conversion funnels, configure tracking, and integrate marketing tools. Use when the user asks about Shopify, e-commerce optimization, Shopify analytics, store conversion, product feeds, or Shopify app integrations.
日本語の概要は準備中です。原文の説明を表示しています。
Remotion video production best practices — spring animations, interpolation patterns, SVG draw-on effects, scene transitions, chart animations, audio integration, and rendering. Use when building programmatic videos with Remotion, creating animated content, or producing marketing videos with code.
日本語の概要は準備中です。原文の説明を表示しています。
Generate structured data markup (JSON-LD) for rich results, AI search visibility, and enhanced SERP features. Supports Article, FAQ, HowTo, Product, Review, LocalBusiness, Event, BreadcrumbList, Person, Organization, and more. Use when the user needs schema markup, structured data, rich snippets, JSON-LD, or wants to improve search appearance.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze application error logs and monitoring platform exports (Sentry, Datadog, Rollbar) to identify error patterns, duplicates, and severity. Use when someone asks to "audit errors", "analyze exceptions", "find noisy alerts", "deduplicate error groups", or "triage production errors". Parses JSON/CSV error exports and produces categorized reports with root cause analysis.
日本語の概要は準備中です。原文の説明を表示しています。
Manage environment variables and secrets across development, staging, and production environments. Use when someone needs to audit env vars, sync secrets between environments, detect missing or mismatched variables, rotate credentials, or set up a new environment from an existing one. Trigger words: env vars, environment variables, secrets, .env file, dotenv, config management, secret rotation, missing variable, environment sync.
日本語の概要は準備中です。原文の説明を表示しています。
ESLint is the standard linting tool for JavaScript and TypeScript projects. It statically analyzes your code to find problems, enforce coding conventions, and catch bugs before they reach production. ESLint 9 introduced the flat config format, replacing the legacy `.eslintrc` system with a simpler, more composable `eslint.config.js` file. With a rich plugin ecosystem covering React, TypeScript, accessibility, and import ordering, ESLint is the backbone of code quality in modern web development.
日本語の概要は準備中です。原文の説明を表示しています。
Automate and script DaVinci Resolve workflows. Use when a user asks to script DaVinci Resolve via Python/Lua API, automate color grading, batch render projects, manage timelines programmatically, automate media import, build render queues, create Fusion compositions via script, automate Fairlight audio processing, manage project databases, build custom tool scripts, or integrate Resolve into production pipelines. Covers the Resolve Scripting API (Python/Lua), Fusion scripting, and workflow automation.
日本語の概要は準備中です。原文の説明を表示しています。
Edits existing marketing copy in ordered passes (structure, claims, sentences, consistency, proof) and returns the edited text with a change log and a list of questions for the author. Flags claims that need evidence instead of inventing proof, and keeps the writer's voice. Use when someone says "edit this copy", "proofread this page", "tighten this", "polish this email", "review my landing page copy", "make this clearer", "check this before we publish", or asks for copy feedback on a page, ad, email or product description.
日本語の概要は準備中です。原文の説明を表示しています。
DALL-E 3 API for AI image generation — text-to-image, image editing, and variations via OpenAI. Use when generating images from text prompts, creating product visuals, illustrating content, or editing images with an inpainting mask.
日本語の概要は準備中です。原文の説明を表示しています。
Writes and rewrites the words on marketing pages: homepage, landing page, pricing, feature, product and about pages, including headlines, button text, section copy, title tag and meta description. Starts from the reader's own language and the proof the business can show, edits copy where it lives in the repository, and flags every claim that needs evidence. Use when someone says "write copy for this page", "rewrite our homepage", "this page sounds generic", "headline ideas", "better CTA", "landing page copy for this ad" or "pricing page wording". Email copy belongs to email-sequence, popups to popup-cro, and line-editing a finished draft to copy-editing.
日本語の概要は準備中です。原文の説明を表示しています。
Checkly is a synthetic monitoring platform that runs API checks and Playwright browser checks from locations worldwide and lets you define them as code with the Checkly CLI. Use when a developer asks to set up monitoring as code, write API or browser checks, configure Slack or email alerts, run checks in CI after a deploy, or turn Playwright tests into production monitors.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guidance for Comet ML, the platform for tracking machine learning experiments, managing models, and monitoring production ML systems. Helps developers log experiments, compare model versions, and build reproducible ML pipelines with automatic code/data versioning.
日本語の概要は準備中です。原文の説明を表示しています。
Braintrust is a hosted platform for evaluating and tracing LLM applications: it runs a task over a dataset, scores the outputs, stores each run as an experiment and logs production traces. Use when a user asks to write or run a Braintrust eval, score LLM outputs with autoevals, compare prompt or model versions as experiments, run evals in CI and fail on regressions, trace OpenAI or Anthropic calls with Braintrust, manage evaluation datasets, or use the bt CLI.
日本語の概要は準備中です。原文の説明を表示しています。
Finds the cause of a hard bug by running several read-only subagents in parallel, each attacking it from a different angle (change history, code path, data and state, environment, reproduction), then checking their evidence, ranking the hypotheses and naming the one experiment that would confirm the leader. It diagnoses and does not fix. Use when someone says "hunt this bug with multiple agents", "swarm on this regression", "investigate in parallel", "find the root cause", or when a failure is intermittent, crosses components, or has resisted a first look.
日本語の概要は準備中です。原文の説明を表示しています。
Babylon.js is an open-source 3D engine for the browser that renders with WebGL or WebGPU and includes a scene graph, PBR materials, glTF loading, Havok physics, a GUI layer and WebXR. Use when a user asks to build a 3D scene, game, product configurator or VR/AR experience with Babylon.js, load a glTF/GLB model, add physics or in-scene UI, switch to WebGPU, or shrink a Babylon.js bundle.
日本語の概要は準備中です。原文の説明を表示しています。
Run containerized applications with Amazon ECS. Define tasks and services, deploy on Fargate for serverless containers or EC2 for full control. Configure load balancing, auto-scaling, and service discovery for production workloads.
日本語の概要は準備中です。原文の説明を表示しています。
BigCommerce is a hosted e-commerce platform with REST and GraphQL APIs for headless storefronts. Use when a user asks to set up a large-scale online store, build a headless store with the Storefront GraphQL API or the Catalyst Next.js storefront, manage products and orders through the REST API, or migrate from Shopify to a more API-friendly platform.
日本語の概要は準備中です。原文の説明を表示しています。
Arize is an AI observability platform, and Phoenix is its open-source tracing and evaluation tool for LLM applications. Use this skill when the user wants to trace OpenAI or LangChain calls, run a local Phoenix server, score RAG answers for faithfulness, debug slow or wrong LLM responses, or send OpenTelemetry traces to Arize for production monitoring.
日本語の概要は準備中です。原文の説明を表示しています。
Reconstructs the workflow behind a past artifact by querying local ax session, recall, and commit history data. Use when a user asks "what made X work", "how was Y shipped/built", "extract workflow from <date|sha>", "workflow around <topic>", "recipe for this feature", or similar. It finds the anchor session or commit, inspects ax sessions, ax recall, and ax sessions show, and returns an ordered read-only narrative with decisions and evidence.
日本語の概要は準備中です。原文の説明を表示しています。
Build and trace AI agents in Python with AgentScope, an open-source agent framework with a ReAct loop, tools, middleware, team pipelines and OpenTelemetry tracing. Use when building production agents that need observability, debugging an agent's model and tool calls, capping token spend per reply, or coordinating a leader with specialist agents.
日本語の概要は準備中です。原文の説明を表示しています。
Generate short-form videos with AI — script writing, text-to-speech narration, stock footage selection, subtitle generation, and video assembly. Use when: creating TikTok/YouTube Shorts/Reels content, automating video production, building content pipelines.
日本語の概要は準備中です。原文の説明を表示しています。
Manage database migrations for SQLAlchemy with Alembic. Use when a user asks to version database schemas, autogenerate migration scripts from models, run or roll back migrations, set up async SQLAlchemy migrations, or handle schema changes safely in production.
日本語の概要は準備中です。原文の説明を表示しています。